Optimizing egg production characteristics via seawater mineralization

ABSTRACT

Aspects for utilizing a seawater fluid to optimize egg-production characteristics are disclosed. In one aspect, a method is provided, which includes identifying a desired optimization, determining a corresponding seawater to non-seawater ratio, and generating a seawater fluid according to the ratio. An egg-cultivation method is also provided, which includes ascertaining a desired optimization, selecting a corresponding seawater to non-seawater ratio, and providing a seawater fluid comprising the ratio to a hen. In another egg-cultivation method, hens are provided with a mixed feed comprising a feed to seawater-mineralized produce ratio selected according to a desired optimization. A method to grow produce is also provided, which includes mineralizing soil with a seawater fluid comprising a seawater to non-seawater ratio corresponding to a preferred optimization. In another aspect, a method to produce feed is disclosed, which includes mixing feed with mineralized produce according to a ratio corresponding to a desired optimization.

TECHNICAL FIELD

The subject disclosure generally relates to optimizing egg-productioncharacteristics, and more specifically to optimizing suchcharacteristics by providing chickens with produce and water mineralizedwith a seawater fluid.

BACKGROUND

By way of background concerning conventional feeding methods, it isnoted that such methods are limited with respect to optimizingparticularly desirable egg production characteristics. For instance, itis desirable to farm robust eggs that will not crack while beingtransported to the marketplace. Producing eggs that are larger, and withparticular consumption characteristics (e.g., flavor, calories,cholesterol, etc.), is also desirable. However, despite there being agreat demand for eggs that exhibit these and other desirablecharacteristics, current egg production methods fail to provide anadequate mechanism for efficiently producing such eggs.

Accordingly, it would be desirable to design a chicken feed methodologywhich overcomes these limitations. To this end, it should be noted thatthe above-described deficiencies are merely intended to provide anoverview of some of the problems of conventional systems, and are notintended to be exhaustive. Other problems with the state of the art andcorresponding benefits of some of the various non-limiting embodimentsmay become further apparent upon review of the following detaileddescription.

SUMMARY

A simplified summary is provided herein to help enable a basic orgeneral understanding of various aspects of exemplary, non-limitingembodiments that follow in the more detailed description and theaccompanying drawings. This summary is not intended, however, as anextensive or exhaustive overview. Instead, the sole purpose of thissummary is to present some concepts related to some exemplarynon-limiting embodiments in a simplified form as a prelude to the moredetailed description of the various embodiments that follow.

In accordance with one or more embodiments and corresponding disclosure,various non-limiting aspects are described in connection with utilizinga seawater solution to optimize egg production characteristics. In onesuch aspect, a method is provided which includes identifying at leastone desired egg production optimization. This method further includesdetermining a customized ratio of seawater to non-seawater fluidcorresponding to the at least one desired egg production optimization. Aseawater fluid is then generated, which comprises a quantity of seawaterand a quantity of non-seawater fluid according to the customized ratio.

In another aspect, a method to cultivate eggs is provided, whichincludes ascertaining at least one desired egg production optimization.The method further includes selecting a customized ratio of seawater tonon-seawater fluid corresponding to the at least one desired eggproduction optimization. A seawater fluid is then provided to at leastone hen, whereby the seawater fluid comprises a quantity of seawater anda quantity of non-seawater fluid according to the customized ratio.

In a further aspect, a method to grow produce is provided, whichincludes identifying at least one preferred egg production optimization,and determining a customized ratio of seawater to non-seawater fluid.For this particular embodiment, the customized ratio is a ratio ofseawater to non-seawater fluid customized according to the at least onepreferred egg production optimization. The method further includesmineralizing a plot of soil with a seawater fluid that comprises aquantity of seawater and a quantity of non-seawater fluid according tothe customized ratio. Produce is then grown on the plot of soil.

A method to produce chicken feed is also provided. Within suchembodiment, the method includes identifying at least one desired eggproduction optimization, and ascertaining a customized ratio of feed tomineralized produce corresponding to the at least one desired eggproduction optimization. Here, mineralized produce is defined as producegrown on soil treated with a seawater fluid. Once the customized ratiois ascertained, the method then concludes by mixing a quantity of feedwith a quantity of mineralized produce according to the customizedratio.

In a further aspect, yet another method to cultivate eggs is provided.This method includes ascertaining a desired egg production optimization,and selecting a mixed feed that comprises a ratio of chicken feed tomineralized produce according to the desired egg productionoptimization. The mixed feed is then provided to at least one hen. Here,mineralized produce is again defined as produce grown on soil treatedwith a seawater fluid.

Other embodiments and various non-limiting examples, scenarios, andimplementations are described in more detail below.

BRIEF DESCRIPTION OF THE DRAWINGS

Various non-limiting embodiments are further described with reference tothe accompanying drawings in which:

FIG. 1 illustrates a block diagram of exemplary processes for utilizinga seawater fluid according to an embodiment;

FIG. 2 illustrates various exemplary implementations for a seawaterfluid according to an embodiment;

FIG. 3 illustrates an exemplary coupling of electrical components thateffectuate generating a seawater fluid according to an embodiment;

FIG. 4 illustrates a flow diagram of an exemplary methodology forgenerating a seawater fluid in accordance with an aspect of the subjectspecification;

FIG. 5 illustrates exemplary egg-farming utilizations of a seawaterfluid according to an embodiment;

FIG. 6 illustrates an exemplary coupling of electrical components thateffectuate utilizing a seawater fluid according to an embodiment;

FIG. 7 illustrates a flow diagram of an exemplary methodology forutilizing a seawater fluid in accordance with an aspect of the subjectspecification;

FIG. 8 illustrates exemplary produce-mineralizing utilizations of aseawater fluid according to an embodiment;

FIG. 9 illustrates an exemplary coupling of electrical components thateffectuate mineralizing produce with a seawater fluid according to anembodiment;

FIG. 10 illustrates a flow diagram of an exemplary methodology formineralizing produce with a seawater fluid in accordance with an aspectof the subject specification;

FIG. 11 illustrates exemplary feed-producing utilizations of a seawaterfluid according to an embodiment;

FIG. 12 illustrates an exemplary coupling of electrical components thateffectuate producing an optimized chicken feed according to anembodiment;

FIG. 13 illustrates a flow diagram of an exemplary methodology forproducing an optimized chicken feed in accordance with an aspect of thesubject specification;

FIG. 14 illustrates exemplary utilizations of an optimized feedaccording to an embodiment;

FIG. 15 illustrates an exemplary coupling of electrical components thateffectuate utilizing an optimized chicken feed according to anembodiment;

FIG. 16 illustrates a flow diagram of an exemplary methodology forutilizing an optimized chicken feed in accordance with an aspect of thesubject specification;

FIG. 17 is a block diagram representing exemplary non-limiting networkedenvironments in which various embodiments described herein can beimplemented; and

FIG. 18 is a block diagram representing an exemplary non-limitingcomputing system or operating environment in which one or more aspectsof various embodiments described herein can be implemented.

DETAILED DESCRIPTION Overview

As discussed in the background, it is desirable to optimize variouscharacteristics of eggs farmed via conventional chicken feedingmethodologies. The various embodiments disclosed herein are directedtowards utilizing mineralized produce/water to optimize egg-productioncharacteristics. Namely, it has been discovered that variousegg-production characteristics can be desirably optimized by integratinga seawater fluid into a hen's drinking water. It has been furtherdiscovered that egg-production characteristics are also optimized byfeeding hens a mixture of conventional chicken feed and produce grown onsoil mineralized with seawater.

As used herein, a “seawater fluid” is defined as a fluid having achemical composition substantially similar to ocean water. To this end,it is noted that such seawater fluid can be ascertained “naturally”(i.e., directly from the world's oceans), “artificially” (i.e., byproducing a fluid with chemical properties substantially similar toocean water), and/or any combination therein. It is further noted thatocean water includes a combination of all/most of the elements in theperiodic table. Accordingly, in a first embodiment, the disclosedseawater fluid includes all elements in the periodic table. In anotherembodiment, however, the disclosed seawater fluid includes a majority ofthe elements in the periodic table. Furthermore, although the exactratios may vary, Table T-1 below illustrates an exemplary concentrationof elements in a seawater fluid.

TABLE T-1 Element Seawater Concentration Symbol Name Parts per Million(PPM) H+ Hydrogen Ultra-trace CI— Chloride 19,400.000000000 Na Sodium10,800.000000000 Mg Magnesium 1,280.000000000 SO₄— Sulfate 898.000000000Ca Calcium 412.000000000 K Potassium 399.000000000 Br Bromine67.000000000 C Carbon 27.000000000 N₂ Nitrogen 8.300000000 Sr Strontium7.800000000 B Boron 4.500000000 O₂ Oxygen 2.800000000 Si Silicon2.800000000 F Fluorine 1.300000000 Ar Argon 0.620000000 NO₃ Nitrate0.420000000 Li Lithium 0.180000000 Rb Rubidenum 0.120000000 PO₄Phosphate 0.620000000 I Iodine 0.058000000 Ba Barium 0.015000000 MoMolybdenum 0.010000000 U Uranium 0.003200000 V Vanadium 0.002000000 AsArsenic 0.001200000 Ni Nickel 0.000480000 Zn Zinc 0.000350000 Kr Krypton0.000310000 Cs Cesium 0.000306000 Cr(VI) Chromium 0.000210000 SbAntimony 0.000200000 Ne Neon 0.000160000 Se Selenium 0.000155000 CuCopper 0.000150000 Cd Cadmium 0.000070000 Xe Xenon 0.000066000 AlAluminum 0.000030000 Fe Iron 0.000030000 Mn Manganese 0.000020000 YYttrium 0.000017000 Zr Xircon 0.000015000 TI Thallium 0.000013000 WTungsten 0.000010000 Re Rhenium 0.000007800 He Helium 0.000007600 TiTitanium 0.000006500 La Lanthanum 0.000005600 Ge Germanium 0.000005500Nb Nobelium 0.000005000 Hf Hafnium 0.000003400 Nd Neodymium 0.000003300Pb Lead 0.000002700 Ta Tantalum 0.000002500 Ag Silver 0.000002000 CoCobalt 0.000001200 Ga Gallium 0.000001200 Er Erbium 0.000001200 YbYtterbium 0.000001200 Dy Dysprosium 0.000001100 Gd Gadolinium0.000000900 Sc Scabdium 0.000000700 Ce Cesium 0.000000700 Pr Promethium0.000000700 Sm Samarium 0.000000570 Sn Tin 0.000000500 Ho Holmium0.000000360 Lu Lutetium 0.000000230 Be Beryllium 0.000000210 Tm Thulium0.000000200 Eu Europium 0.000000170 Tb Terbium 0.000000170 Hg Mercury0.000000140 Rh Rhodium 0.000000080 Te Tellurium 0.000000070 Pd Palladium0.000000060 Pt Platinum 0.000000050 Bi Bismuth 0.000000030 Th Thorium0.000000020 In Indium 0.000000010 Au Gold 0.000000010 Ru Ruthium0.000000005 Os Osmium 0.000000002 Ir Iridium Ultra-trace Ra RadiumUltra-trace Rn Radon Ultra-trace Fr Francium Ultra-tract Ac ActiniumUltra-tract Pa Protactinium Ultra-trace

Referring next to FIG. 1, a block diagram of exemplary processes forutilizing a seawater fluid according to an embodiment is provided. Asillustrated, system 100 includes a plurality of mineralization processeswhich facilitate optimizing various egg-production characteristics. Forinstance, a chicken feed process 122 is contemplated for convertingconventional chicken feed 112 into mineralized chicken feed 132, adrinking water process 124 is contemplated for converting conventionalchicken drinking water 114 into mineralized chicken drinking water 134,and a produce process 126 is contemplated for converting conventionalproduce 116 into mineralized produce 136. Each of these processes isdiscussed in more detail below.

Referring next to FIG. 2, exemplary implementations for a seawater fluidaccording to an embodiment are provided. As illustrated, a firstseawater fluid implementation 200 is directed towards a drinker seawaterfluid 202. Within such embodiment, rather than utilizing conventionalchicken drinking water, chickens are provided with drinker seawaterfluid 202 to facilitate optimizing various egg-productioncharacteristics. To this end, it should be appreciated that drinkerseawater fluid 202 is generally analogous to mineralized chickendrinking water 134, wherein drinker seawater fluid 202 can be providedto chickens according to any of a plurality of protocols/ratios. Forinstance, in an exemplary embodiment, 3.5-42 ounces of seawater aremixed into 550 gallons of conventional chicken drinking water. Such amixture can be used, for example, as a daily water source forapproximately 10,000 chickens that is continuously available.

As further illustrated in FIG. 2, a second seawater fluid implementation210 is directed towards a soil-mineralizing seawater fluid 212. Withinsuch embodiment, rather than growing produce with conventional water,produce is grown on mineralized soil 214 which is conventional soilmineralized by soil-mineralizing seawater fluid 212. By growing produceon mineralized soil 214, mineralized produce generally analogous tomineralized produce 136 can be harvested and incorporated into chickenfeed to facilitate optimizing various egg-production characteristics.For instance, in an exemplary embodiment, alfalfa may be grown onmineralized soil 214, wherein an acre of mineralized soil 214 can beascertained by mineralizing an acre of conventional soil with 0.1-0.5gallons of soil-mineralizing seawater fluid 212 (e.g., 0.1-0.5 gallonsof seawater).

In another aspect illustrated in FIG. 2, a third seawater fluidimplementation 220 is directed towards a feed-optimizing seawater fluid222. For this particular embodiment, it is contemplated thatfeed-optimizing seawater fluid 222 may be applied to chicken feed 224 soas to produce optimized feed 226. Optimized feed 226 can then beincorporated into a flock's feeding protocol to facilitate optimizingvarious egg-production characteristics.

In an aspect, it should be noted that generating either of drinkerseawater fluid 202, soil-mineralizing seawater fluid 212,feed-optimizing seawater fluid 222, and/or any other seawater fluid mayinvolve determining a customized ratio of seawater to non-seawater fluidcorresponding to a desired egg production optimization. Such embodimentmay further comprise adjusting the customized ratio according to adifferent egg production optimization, and/or varying the customizedratio according to a usage type (e.g., a drinking water usage, a chickenfeed usage, a soil mineralization usage, etc.). It is also contemplatedthat multiple desired egg production optimizations can be identified,wherein the customized ratio corresponds to the multiple desired eggproduction optimizations.

Turning to FIG. 3, illustrated is a system 300 that facilitatesgenerating a seawater fluid according to an embodiment. System 300and/or instructions for implementing system 300 can reside within acomputing device, for example. As depicted, system 300 includesfunctional blocks that can represent functions implemented by aprocessor using instructions and/or data from a computer readablestorage medium. System 300 includes a logical grouping 302 of electricalcomponents that can act in conjunction. As illustrated, logical grouping302 can include an electrical component for identifying a desired eggproduction optimization 310. Furthermore, logical grouping 302 caninclude an electrical component for determining a customized ratio ofseawater to non-seawater fluid corresponding to the desired eggproduction optimization 312. Logical grouping 302 can also include anelectrical component for generating a seawater fluid comprising aquantity of seawater and a quantity of non-seawater fluid according tothe customized ratio 314. Additionally, system 300 can include a memory320 that retains instructions for executing functions associated withelectrical components 310, 312, and 314. While shown as being externalto memory 320, it is to be understood that electrical components 310,312, and 314 can exist within memory 320.

Referring next to FIG. 4, a flow chart illustrating an exemplary methodto facilitate generating a seawater fluid is provided. As illustrated,process 400 includes a series of acts that may be performed within acomputing device according to an aspect of the subject specification.For instance, process 400 may be implemented by employing a processor toexecute computer executable instructions stored on a computer readablestorage medium to implement the series of acts. In another embodiment, acomputer-readable storage medium comprising code for causing at leastone computer to implement the acts of process 400 are contemplated.

In an aspect, process 400 begins with desired egg-productionoptimizations being selected at act 410. Here, it should be appreciatedthat single and/or multiple optimizations may be selected. For thisparticular embodiment, process 400 thus continues to act 420 where adetermination is made as to whether multiple optimizations have beenselected. If multiple optimizations are indeed selected, process 400proceeds to act 425 where the selected egg-production optimizations areweighted relative to each other. To this end, it should be noted thatweights can be determined in any of a plurality of ways. For instance,it is contemplated that user-based prioritization weights may beassigned to the selected optimizations, as well as default weights.User-based prioritization weights, for example, may be derived from auser's ranking of the selected optimizations and/or from a user's actualweighting of such optimizations. Alternatively, if no relativepreferences are provided by a user, a default weighting system can beimplemented where the selected optimizations are generally weightedevenly.

Once the prioritization weights are determined, or if multipleoptimizations are not selected, process 400 proceeds to act 430 where atype of usage for the seawater fluid is ascertained. As statedpreviously, the seawater fluid described herein can facilitateegg-production optimizations via any of a plurality of implementationsincluding, for example, having hens drink the seawater fluid(voluntarily and/or involuntarily), growing chicken feed crops on soilmineralized with the seawater fluid, and/or applying the seawater fluidonto conventional chicken feed.

After determining the application type, process 400 continues to act 440where a customized ratio of seawater to non-seawater is determined.Here, it should be noted that such ratio can vary depending on any of aplurality of factors including, for example, the selected egg-productionoptimization(s), type of application, etc. To facilitate determiningratios, it is contemplated that a lookup table may be utilized. Once thecustomized ratio has been determined, process 400 then concludes with aseawater fluid generated according to the customized ratio at act 450.

Referring next to FIG. 5, exemplary egg-farming utilizations of aseawater fluid according to an embodiment are provided. Here, it shouldbe appreciated that seawater fluids can be mixed by egg farmer 500and/or provided to egg farmer 500 by seawater fluid provider 510. Asillustrated, a first egg-farming utilization 520 is directed towards adrinker seawater fluid 522. Within such embodiment, chickens areprovided with drinker seawater fluid 522 to facilitate optimizingvarious egg-production characteristics. To this end, it should beappreciated that drinker seawater fluid 522 is generally analogous tomineralized chicken drinking water 134 and drinker seawater fluid 202,wherein drinker seawater fluid 522 can be provided to chickens accordingto any of a plurality of protocols/ratios. It should be furtherappreciated that an automated system for incorporating drinker seawaterfluid 522 can be implemented including, for example, having drinkerseawater fluid 522 continuously injected via a water pump.

In another aspect illustrated in FIG. 5, a second egg-farmingutilization 530 is directed towards a feed-optimizing seawater fluid532. For this particular embodiment, it is contemplated thatfeed-optimizing seawater fluid 532 may be applied to chicken feed 534 soas to produce optimized feed 536. Optimized feed 536 can then beincorporated into a flock's feeding protocol to facilitate optimizingvarious egg-production characteristics.

It should be noted that utilizing either of drinker seawater fluid 522,feed-optimizing seawater fluid 532, and/or any other seawater fluid maythus involve providing such seawater fluid to at least one hen in any ofa plurality of ways. For instance, the providing may comprise providingthe seawater fluid as an exclusive drinking water source available tothe at least one hen, and customizing a drinking protocol according toat least one desired egg production optimization. In another aspect, theproviding may comprise applying a seawater fluid onto a feed provided toat least one hen.

Referring next to FIG. 6, illustrated is an exemplary system 600 thatfacilitates utilizing a seawater fluid according to an embodiment.System 600 and/or instructions for implementing system 600 canphysically reside within a computing device, for instance, whereinsystem 600 includes functional blocks that can represent functionsimplemented by a processor using instructions and/or data from acomputer readable storage medium. System 600 includes a logical grouping602 of electrical components that can act in conjunction similar tological grouping 302 in system 300. As illustrated, logical grouping 602can include an electrical component for ascertaining a desired eggproduction optimization 610. Furthermore, logical grouping 602 caninclude an electrical component for selecting a customized ratio ofseawater to non-seawater fluid corresponding to the desired eggproduction optimization 612. Logical grouping 602 can also include anelectrical component for providing a seawater fluid comprising aquantity of seawater and a quantity of non-seawater fluid according tothe customized ratio to a hen 614. Additionally, system 600 can includea memory 620 that retains instructions for executing functionsassociated with electrical components 610, 612, and 614. While shown asbeing external to memory 620, it is to be understood that electricalcomponents 610, 612, and 614 can exist within memory 620.

Referring next to FIG. 7, a flow chart illustrating an exemplary methodto facilitate utilizing a seawater fluid is provided. As illustrated,process 700 includes a series of acts that may be performed within acomputing device according to an aspect of the subject specification.For instance, process 700 may be implemented by employing a processor toexecute computer executable instructions stored on a computer readablestorage medium to implement the series of acts. In another embodiment, acomputer-readable storage medium comprising code for causing at leastone computer to implement the acts of process 700 are contemplated.

In an aspect, process 700 begins with desired egg-productionoptimizations being selected at act 710. Here, as stated previously, itis contemplated that the disclosed seawater fluid can be utilized withina drinking water context and/or a non-drinking water context. For thisparticular embodiment, process 700 thus continues to act 720 where adetermination is made as to whether a drinking water implementation isdesired. If a drinking water implementation is indeed desired, process700 proceeds to act 725 where a particular drinking water protocol isselected. Here, drinking water protocols may include avoluntary/involuntary drinking designation, an optimization-specificdrinking frequency/quantity, etc. However, if act 720 determines that anon-drinking water implementation is desired, process 700 proceeds toact 730 where a particular non-drinking water protocol is selected.Here, such non-drinking water protocols may include designating a usagetype (e.g., utilizing a seawater fluid to mineralize soil, spray onto aconventional feed, etc.) and/or identifying an optimization-specificapplication frequency/quantity.

After determining the appropriate protocol, process 700 continues to act740 where a customized ratio of seawater to non-seawater is determined.Here, it should be noted that such ratio can vary depending on any of aplurality of factors including, for example, the selected egg-productionoptimization(s), type of use, etc. As stated previously, to facilitatedetermining ratios, it is contemplated that a lookup table may beutilized. Once the customized ratio has been determined, process 700then concludes at act 750 with a utilization of a seawater fluid havingthe customized ratio determined at act 740.

Referring next to FIG. 8, exemplary produce-mineralizing utilizations ofa seawater fluid according to an embodiment are provided. Here, itshould be appreciated that seawater fluids can be mixed by producefarmer 800 and/or provided to produce farmer 800 by seawater fluidprovider 810. As illustrated, a first produce-mineralizing utilization820 is directed towards mineralizing soil with an all-purpose seawaterfluid 822 to yield mineralized soil 824. Within such embodiment, adefault ratio of seawater to non-seawater fluid can be used tofacilitate a generic egg production optimization. However, it is alsocontemplated that customized seawater fluids can be ascertained bymodifying the default ratio. For instance, a second produce-mineralizingutilization 830 is directed towards mineralizing soil with atrait-specific seawater fluid 832 to yield mineralized soil 834, whereintrait-specific seawater fluid 832 can be ascertained by modifying adefault ratio of seawater to non-seawater fluid according to at leastone preferred egg production optimization. A third produce-mineralizingutilization 840 is also contemplated and directed towards mineralizingsoil with a produce-specific seawater fluid 842 to yield mineralizedsoil 844, wherein the ratio of seawater to non-seawater fluid isvariable according to a produce type (e.g., an alfalfa-specific ratio).

In an aspect, it is noted that a customized ratio of seawater tonon-seawater fluid can be determined in various ways. For instance, suchdetermination may comprise selecting the customized ratio from a lookuptable, wherein any of various egg production optimizations may belisted, and wherein each optimization (or set of optimizations) has acorresponding ratio of seawater to non-seawater fluid. Furthermore,since it may also be desirable to utilize non-seawater nutrients, it iscontemplated that determining a particular ratio may further compriseascertaining a nutrient ratio corresponding to at least one preferredegg production optimization, and incorporating nutrients into a quantityof non-seawater fluid according to the nutrient ratio.

It is further noted that any of various application protocols can beimplemented to facilitate mineralizing soil according to the aspectsdescribed herein. For instance, it is contemplated that suchmineralizing may comprise applying a seawater fluid onto a plot of soilaccording to a particular application protocol, wherein the applicationprotocol corresponds to at least one preferred egg productionoptimization. Moreover, it is contemplated that an application protocolwhich identifies any of various characteristics for applying a seawaterfluid (e.g., application frequency, application density, etc.), can becustomized to accentuate particular egg production optimizations.

An exemplary application protocol for facilitating an egg productionoptimization is now described. Here, it should be noted that suchprotocol may be modified according to the particular type of seawaterfluid used (e.g., all-purpose seawater fluid 822, trait-specificseawater fluid 832, produce-specific seawater fluid 842, etc.). Itshould be further noted that such protocol can also be modifiedaccording to a desired optimization strength (e.g., applying more/lessof a trait-specific seawater fluid directed towards egg shell hardnessaccording to a particularly desired egg shell hardness).

In an aspect, a particular application protocol can include a firstprotocol for initially preparing soil, and a second protocol inpreparation for growing each subsequent stand. An exemplary first andsecond protocol is now described for growing mineralized alfalfaaccording to an embodiment. To this end, although such protocols aredescribed within the context of growing mineralized alfalfa, similarand/or modified protocols are contemplated for non-alfalfa produce aswell.

Initially preparing the soil according to the first protocol may beginwith the application of an effective microorganism (EM) solution viafoliar spray, wherein 3-10 gallons of EM solution per acre may be used.Herbicide can also be applied, as needed. After approximately one week,another 3-10 gallons of EM solution per acre, in addition to 0.1-0.5gallons of NitroCarb® per acre, may be applied. After approximatelythree days, the following may be nursed into the irrigation water: 1-5gallons of Calganix® per acre; 0.1-0.5 gallons of seawater fluid peracre; 0.1-0.5 gallons of NitroCarb® per acre; and 1-5 gallons of fishfertilizer.

With respect to the second protocol directed towards growing subsequentcrops of mineralized produce, an exemplary protocol is now described.After each cutting, the following may be incorporated into a plot'sirrigation water: 1-5 gallons of EM solution per acre; 1-5 gallons ofCalganix® per acre; 0.1-0.5 gallons of seawater fluid per acre; 0.1-0.5gallons of NitroCarb® per acre; and 1-5 gallons of fish fertilizer.

Referring next to FIG. 9, illustrated is an exemplary system 900 thatfacilitates mineralizing produce with a seawater fluid according to anembodiment. System 900 and/or instructions for implementing system 900can physically reside within a computing device, for instance, whereinsystem 900 includes functional blocks that can represent functionsimplemented by a processor using instructions and/or data from acomputer readable storage medium. System 900 includes a logical grouping902 of electrical components that can act in conjunction similar tological groupings 302 and 602 respectively corresponding to systems 300and 600. As illustrated, logical grouping 902 can include an electricalcomponent for identifying a preferred egg production optimization 910,as well as an electrical component for determining a customized ratio ofseawater to non-seawater fluid corresponding to the preferred eggproduction optimization 912. Logical grouping 902 can also include anelectrical component for mineralizing soil with a seawater fluidcomprising seawater and a non-seawater fluid according to the customizedratio 914. Further, logical grouping 902 can include an electricalcomponent for growing produce on the soil 916. Additionally, system 900can include a memory 920 that retains instructions for executingfunctions associated with electrical components 910, 912, 914, and 916.While shown as being external to memory 920, it is to be understood thatelectrical components 910, 912, 914, and 916 can exist within memory920.

Referring next to FIG. 10, a flow chart illustrating an exemplary methodto facilitate mineralizing produce with a seawater fluid is provided. Asillustrated, process 1000 includes a series of acts that may beperformed within a computing device according to an aspect of thesubject specification. For instance, process 1000 may be implemented byemploying a processor to execute computer executable instructions storedon a computer readable storage medium to implement the series of acts.In another embodiment, a computer-readable storage medium comprisingcode for causing at least one computer to implement the acts of process1000 are contemplated.

In an aspect, process 1000 begins with a type of produce (e.g., alfalfa)being determined at act 1010, and desired egg-production optimization(s)being selected at act 1010. For this embodiment, process 1000 thenproceeds to act 1020 where it determines whether to utilize a defaultratio of seawater to non-seawater based on the selected produce type andegg-production optimization(s). If a default ratio is deemed adequate,the default ratio is accepted at act 1035. Otherwise, if the defaultratio is deemed inadequate, a modification to the default ratio is madeat act 1040.

For some embodiments, it may be desirable to further optimizeegg-production characteristics by adding nutrients to a seawater fluid.Accordingly, once an appropriate ratio of seawater to non-seawater isdetermined, process 1000 proceeds to act 1050 where such nutrients areadded.

In an aspect, it is contemplated that soil can be mineralized with theseawater fluid disclosed herein via any of a plurality of applicationprotocols. For instance, depending on the particular type of producetype and/or egg-production optimization(s), such application protocolsmay vary with respect to application frequency/density. Process 1000thus proceeds with the selection of the appropriate application protocolat act 1060, followed by a mineralization of soil performed according tothe selected application protocol at act 1070. Process 1000 thenconcludes at act 1080 where produce is grown on the mineralized soil.

Referring next to FIG. 11, exemplary feed-producing utilizations of aseawater fluid according to an embodiment are provided. Here, it shouldbe appreciated that optimized feeds can be ascertained in various ways.As illustrated, a first feed-producing utilization 1120 is directedtowards producing optimized feed 1126 by applying a feed-optimizingseawater fluid 1122 to conventional chicken feed 1124. For thisparticular embodiment, optimized feed provider 1100 may obtainfeed-optimizing seawater fluid 1122 from seawater fluid provider 1110,as shown.

A second feed-producing utilization 1130 is also disclosed, which isdirected towards producing optimized feed 1136 by mixing mineralizedproduce 1132 with conventional chicken feed 1134. Within suchembodiment, optimized feed provider 1100 may obtain mineralized produce1132 from mineralized produce provider 1112, as shown. Although any of aplurality of ratios of mineralized produce 1132 to conventional chickenfeed 1134 can be used (e.g., to accentuate various egg productioncharacteristics), it has been discovered that particularly desirableresults are ascertained when optimized feed 1136 includes 1%-7.5%mineralized produce 1132 (e.g., mineralized alfalfa) and 92.5%-99%conventional chicken feed 1134.

Mixing different types of optimized feeds is also contemplated. Forinstance, as illustrated in FIG. 11, a third feed-producing utilization1140 is also disclosed, which is directed towards producing a hybridfeed that optimizes multiple egg production characteristics by mixingdifferent trait-specific optimized feeds. For this particular example,an X-specific optimized feed 1142 (e.g., a feed directed towardsoptimizing egg shell hardness) is mixed with a Y-specific optimized feed1144 (e.g., a feed directed towards optimizing molting), so as toproduce an XY-specific optimized feed 1146 (i.e., a hybrid feed directedtowards optimizing egg shell hardness and molting).

In an aspect, it is noted that customized ratios for producing specifictypes of optimized feeds are contemplated. Such ratios may, for example,include a customized ratio of feed-optimizing seawater fluid 1122 tochicken feed 1124, a customized ratio of mineralized produce 1132 tochicken feed 1134, or a customized ratio of X-specific optimized feed1142 to Y-specific optimized feed 1144. Determining particular ratiosmay comprise retrieving the customized ratio from a lookup table,wherein any of various egg production optimizations may be listed, andwherein customized ratios may be adjusted according to different eggproduction optimizations. Furthermore, since it may also be desirable tooptimize multiple egg production characteristics, producing an optimizedfeed may include identifying multiple desired egg productionoptimizations, wherein the customized ratio corresponds to the multipledesired egg production optimizations. Such embodiment may then furtherinclude a mechanism to facilitate prioritizing egg productioncharacteristics. For example, this embodiment may include determining aprioritization of the multiple desired egg production optimizations, andadjusting the customized ratio according to the prioritization. It isalso contemplated that such embodiment may further comprise assigning aprioritization weight to at least one of the multiple desired eggproduction optimizations, wherein the adjusting comprises furtheradjusting the customized ratio according to the prioritization weight.

Referring next to FIG. 12, illustrated is an exemplary system 1200 thatfacilitates producing an optimized chicken feed according to anembodiment. System 1200 and/or instructions for implementing system 1200can physically reside within a computing device, for instance, whereinsystem 1200 includes functional blocks that can represent functionsimplemented by a processor using instructions and/or data from acomputer readable storage medium. System 1200 includes a logicalgrouping 1202 of electrical components that can act in conjunctionsimilar to logical groupings 302, 602, and 902 respectivelycorresponding to systems 300, 600, and 900. As illustrated, logicalgrouping 1202 can include an electrical component for identifying adesired egg production optimization 1210. Furthermore, logical grouping1202 can include an electrical component for ascertaining a customizedratio of feed to produce mineralized with seawater corresponding to thedesired egg production optimization 1212. Logical grouping 1202 can alsoinclude an electrical component for mixing a quantity of feed with aquantity of mineralized produce according to the customized ratio 1214.Additionally, system 1200 can include a memory 1220 that retainsinstructions for executing functions associated with electricalcomponents 1210, 1212, and 1214. While shown as being external to memory1220, it is to be understood that electrical components 1210, 1212, and1214 can exist within memory 1220.

Referring next to FIG. 13, a flow chart illustrating an exemplary methodto facilitate producing an optimized chicken feed is provided. Asillustrated, process 1300 includes a series of acts that may beperformed within a computing device according to an aspect of thesubject specification. For instance, process 1300 may be implemented byemploying a processor to execute computer executable instructions storedon a computer readable storage medium to implement the series of acts.In another embodiment, a computer-readable storage medium comprisingcode for causing at least one computer to implement the acts of process1300 are contemplated.

In an aspect, process 1300 begins with desired egg-productionoptimizations being selected at act 1310, wherein single and/or multipleoptimizations may be selected. For this particular embodiment, process1300 thus continues to act 1320 where a determination is made as towhether multiple optimizations have been selected. If multipleoptimizations are indeed selected, process 1300 proceeds to act 1325where the selected egg-production optimizations are prioritized relativeto each other. Here, any of a plurality of prioritization algorithms canbe implemented. For instance, as stated previously, it is contemplatedthat user-based prioritization weights may be assigned to the selectedoptimizations, as well as default weights. User-based prioritizationweights, for example, may be derived from a user's ranking of theselected optimizations and/or from a user's actual weighting of suchoptimizations. Alternatively, if no relative preferences are provided bya user, a default prioritization system can be implemented where theselected optimizations are generally prioritized evenly.

Once the prioritization weights are determined, or if multipleoptimizations are not selected, process 1300 proceeds to act 1330 wherea customized ratio of feed to mineralized produce is determined. Here,it should be noted that such ratio can vary depending on any of aplurality of factors including, for example, the selected egg-productionoptimization(s), various chicken/flock characteristics (e.g., age and/orbreed), etc. To facilitate determining ratios, it is again contemplatedthat a lookup table may be utilized. Once the customized ratio has beendetermined, process 1300 then concludes at act 1350 with conventionalfeed being mixed with mineralized produce according to the customizedratio.

Referring next to FIG. 14, exemplary utilizations of an optimized feedaccording to an embodiment are provided. Here, it should be appreciatedthat optimized feeds can be utilized in various ways. As illustrated, afirst optimized feed utilization 1420 is directed towards providingchickens with optimized feed 1426, wherein optimized feed 1426 is acombination of conventional chicken feed and a seawater fluid. A secondoptimized feed utilization 1430 is directed towards providing chickenswith optimized feed 1436, wherein optimized feed 1436 is a combinationof conventional chicken feed and mineralized produce (e.g., alfalfagrown on soil mineralized with a seawater fluid). A third optimized feedutilization 1440 is also contemplated, which is directed towardsproviding chickens with optimized feed 1446, wherein optimized feed 1446is a combination of conventional chicken feed, mineralized produce, anda seawater fluid.

In an aspect it contemplated that a desired egg production optimizationis selected from a plurality of optimizations, wherein a ratio ofchicken feed to mineralized produce and/or seawater fluid varies in eachof the plurality of optimizations. Optimizations may, for example, bedirected towards egg shell hardness, molting, and/or an egg consumptioncharacteristic (e.g., a flavor characteristic, a cholesterolcharacteristic, a caloric characteristic, etc.). Furthermore, tofacilitate ascertaining a particular optimization (or combination ofoptimizations), providing chickens with an optimized feed may comprisecustomizing a feeding protocol according to the desired egg productionoptimization(s).

Referring next to FIG. 15, illustrated is an exemplary system 1500 thatfacilitates utilizing an optimized chicken feed according to anembodiment. System 1500 and/or instructions for implementing system 1500can physically reside within a computing device, for instance, whereinsystem 1500 includes functional blocks that can represent functionsimplemented by a processor using instructions and/or data from acomputer readable storage medium. System 1500 includes a logicalgrouping 1502 of electrical components that can act in conjunctionsimilar to logical groupings 302, 602, 902, and 1202 respectivelycorresponding to systems 300, 600, 900, and 1200. As illustrated,logical grouping 1502 can include an electrical component forascertaining a desired egg production optimization 1510. Furthermore,logical grouping 1502 can include an electrical component for selectinga mixed feed comprising a ratio of chicken feed to produce mineralizedwith seawater according to the desired egg production optimization 1512.Logical grouping 1502 can also include an electrical component forproviding the mixed feed to at least one hen 1514. Additionally, system1500 can include a memory 1520 that retains instructions for executingfunctions associated with electrical components 1510, 1512, and 1514.While shown as being external to memory 1520, it is to be understoodthat electrical components 1510, 1512, and 1514 can exist within memory1520.

Referring next to FIG. 16, a flow chart illustrating an exemplary methodto facilitate utilizing an optimized chicken feed is provided. Asillustrated, process 1600 includes a series of acts that may beperformed within a computing device according to an aspect of thesubject specification. For instance, process 1600 may be implemented byemploying a processor to execute computer executable instructions storedon a computer readable storage medium to implement the series of acts.In another embodiment, a computer-readable storage medium comprisingcode for causing at least one computer to implement the acts of process1600 are contemplated.

In an aspect, process 1600 begins with desired egg-productionoptimizations being selected at act 1610. Based on the selectedegg-production optimizations, a lookup table can then be referenced atact 1620 to ascertain utilization details which facilitate yielding suchoptimizations. For instance, a first lookup table can be referenced toretrieve a feeding protocol (e.g., feeding frequency/quantity)corresponding to a particular optimization at act 1630, whereas a secondlookup table can be referenced to retrieve a customized ratio of feed tomineralized produce corresponding to the same optimization at act 1635.A mixed feed comprising the customized ratio of feed to mineralizedproduce can then be provided to a chicken flock at act 1640 according tothe appropriate feeding protocol.

Exemplary Networked and Distributed Environments

One of ordinary skill in the art can appreciate that various embodimentsfor implementing the use of a computing device and related embodimentsdescribed herein can be implemented in connection with any computer orother client or server device, which can be deployed as part of acomputer network or in a distributed computing environment, and can beconnected to any kind of data store. Moreover, one of ordinary skill inthe art will appreciate that such embodiments can be implemented in anycomputer system or environment having any number of memory or storageunits, and any number of applications and processes occurring across anynumber of storage units. This includes, but is not limited to, anenvironment with server computers and client computers deployed in anetwork environment or a distributed computing environment, havingremote or local storage.

FIG. 17 provides a non-limiting schematic diagram of an exemplarynetworked or distributed computing environment. The distributedcomputing environment comprises computing objects or devices 1710, 1712,etc. and computing objects or devices 1720, 1722, 1724, 1726, 1728,etc., which may include programs, methods, data stores, programmablelogic, etc., as represented by applications 1730, 1732, 1734, 1736,1738. It can be appreciated that computing objects or devices 1710,1712, etc. and computing objects or devices 1720, 1722, 1724, 1726,1728, etc. may comprise different devices, such as PDAs (personaldigital assistants), audio/video devices, mobile phones, MP3 players,laptops, etc.

Each computing object or device 1710, 1712, etc. and computing objectsor devices 1720, 1722, 1724, 1726, 1728, etc. can communicate with oneor more other computing objects or devices 1710, 1712, etc. andcomputing objects or devices 1720, 1722, 1724, 1726, 1728, etc. by wayof the communications network 1740, either directly or indirectly. Eventhough illustrated as a single element in FIG. 17, network 1740 maycomprise other computing objects and computing devices that provideservices to the system of FIG. 17, and/or may represent multipleinterconnected networks, which are not shown. Each computing object ordevice 1710, 1712, etc. or 1720, 1722, 1724, 1726, 1728, etc. can alsocontain an application, such as applications 1730, 1732, 1734, 1736,1738, that might make use of an API (application programming interface),or other object, software, firmware and/or hardware, suitable forcommunication with or implementation of the aspects described herein.

There are a variety of systems, components, and network configurationsthat support distributed computing environments. For example, computingsystems can be connected together by wired or wireless systems, by localnetworks or widely distributed networks. Currently, many networks arecoupled to the Internet, which provides an infrastructure for widelydistributed computing and encompasses many different networks, thoughany network infrastructure can be used for exemplary communications madeincident to the techniques as described in various embodiments.

Thus, a host of network topologies and network infrastructures, such asclient/server, peer-to-peer, or hybrid architectures, can be utilized.In a client/server architecture, particularly a networked system, aclient is usually a computer that accesses shared network resourcesprovided by another computer, e.g., a server. In the illustration ofFIG. 17, as a non-limiting example, computing objects or devices 1720,1722, 1724, 1726, 1728, etc. can be thought of as clients and computingobjects or devices 1710, 1712, etc. can be thought of as servers wherecomputing objects or devices 1710, 1712, etc. provide data services,such as receiving data from computing objects or devices 1720, 1722,1724, 1726, 1728, etc., storing of data, processing of data,transmitting data to computing objects or devices 1720, 1722, 1724,1726, 1728, etc., although any computer can be considered a client, aserver, or both, depending on the circumstances. Any of these computingdevices may be processing data, or requesting services or tasks that mayimplicate an infrastructure for optimizing egg productioncharacteristics and related techniques as described herein for one ormore embodiments.

A server is typically a remote computer system accessible over a remoteor local network, such as the Internet or wireless networkinfrastructures. The client process may be active in a first computersystem, and the server process may be active in a second computersystem, communicating with one another over a communications medium,thus providing distributed functionality and allowing multiple clientsto take advantage of the information-gathering capabilities of theserver. Any software objects utilized pursuant to the user profiling canbe provided standalone, or distributed across multiple computing devicesor objects.

In a network environment in which the communications network/bus 1740 isthe Internet, for example, the computing objects or devices 1710, 1712,etc. can be Web servers with which the computing objects or devices1720, 1722, 1724, 1726, 1728, etc. communicate via any of a number ofknown protocols, such as HTTP. As mentioned, computing objects ordevices 1710, 1712, etc. may also serve as computing objects or devices1720, 1722, 1724, 1726, 1728, etc., or vice versa, as may becharacteristic of a distributed computing environment.

Exemplary Computing Device

As mentioned, various of the aforementioned embodiments apply to anydevice wherein it may be desirable to include a computing device tooptimize egg production characteristics according to the aspectsdisclosed herein. It is understood, therefore, that handheld, portableand other computing devices and computing objects of all kinds arecontemplated for use in connection with the various embodimentsdescribed herein, i.e., anywhere that a device may provide somefunctionality in connection with utilizing a seawater solution tooptimize egg production characteristics. Accordingly, the below generalpurpose remote computer described below in FIG. 18 is but one example,and the embodiments of the subject disclosure may be implemented withany client having network/bus interoperability and interaction.

Although not required, any of the embodiments can partly be implementedvia an operating system, for use by a developer of services for a deviceor object, and/or included within application software that operates inconnection with the operable component(s). Software may be described inthe general context of computer executable instructions, such as programmodules, being executed by one or more computers, such as clientworkstations, servers or other devices. Those skilled in the art willappreciate that network interactions may be practiced with a variety ofcomputer system configurations and protocols.

FIG. 18 thus illustrates an example of a suitable computing systemenvironment 1800 in which one or more of the embodiments may beimplemented, although as made clear above, the computing systemenvironment 1800 is only one example of a suitable computing environmentand is not intended to suggest any limitation as to the scope of use orfunctionality of any of the embodiments. The computing environment 1800is not to be interpreted as having any dependency or requirementrelating to any one or combination of components illustrated in theexemplary operating environment 1800.

With reference to FIG. 18, an exemplary remote device for implementingone or more embodiments herein can include a general purpose computingdevice in the form of a handheld computer 1810. Components of handheldcomputer 1810 may include, but are not limited to, a processing unit1820, a system memory 1830, and a system bus 1821 that couples varioussystem components including the system memory to the processing unit1820.

Computer 1810 typically includes a variety of computer readable mediaand can be any available media that can be accessed by computer 1810.The system memory 1830 may include computer storage media in the form ofvolatile and/or nonvolatile memory such as read only memory (ROM) and/orrandom access memory (RAM). By way of example, and not limitation,memory 1830 may also include an operating system, application programs,other program modules, and program data.

A user may enter commands and information into the computer 1810 throughinput devices 1840 A monitor or other type of display device is alsoconnected to the system bus 1821 via an interface, such as outputinterface 1850. In addition to a monitor, computers may also includeother peripheral output devices such as speakers and a printer, whichmay be connected through output interface 1850.

The computer 1810 may operate in a networked or distributed environmentusing logical connections to one or more other remote computers, such asremote computer 1870. The remote computer 1870 may be a personalcomputer, a server, a router, a network PC, a peer device or othercommon network node, or any other remote media consumption ortransmission device, and may include any or all of the elementsdescribed above relative to the computer 1810. The logical connectionsdepicted in FIG. 18 include a network 1871, such local area network(LAN) or a wide area network (WAN), but may also include othernetworks/buses. Such networking environments are commonplace in homes,offices, enterprise-wide computer networks, intranets and the Internet.

As mentioned above, while exemplary embodiments have been described inconnection with various computing devices, networks and advertisingarchitectures, the underlying concepts may be applied to any networksystem and any computing device or system in which it is desirable topublish, build applications for or consume data in connection withinteractions with a cloud or network service.

There are multiple ways of implementing one or more of the embodimentsdescribed herein, e.g., an appropriate API, tool kit, driver code,operating system, control, standalone or downloadable software object,etc. which enables applications and services to implement the aspectsdescribed herein. Embodiments may be contemplated from the standpoint ofan API (or other software object), as well as from a software orhardware object that facilitates optimizing egg productioncharacteristics in accordance with one or more of the describedembodiments. Various implementations and embodiments described hereinmay have aspects that are wholly in hardware, partly in hardware andpartly in software, as well as in software.

The word “exemplary” is used herein to mean serving as an example,instance, or illustration. For the avoidance of doubt, the subjectmatter disclosed herein is not limited by such examples. In addition,any aspect or design described herein as “exemplary” is not necessarilyto be construed as preferred or advantageous over other aspects ordesigns, nor is it meant to preclude equivalent exemplary structures andtechniques known to those of ordinary skill in the art. Furthermore, tothe extent that the terms “includes,” “has,” “contains,” and othersimilar words are used in either the detailed description or the claims,for the avoidance of doubt, such terms are intended to be inclusive in amanner similar to the term “comprising” as an open transition wordwithout precluding any additional or other elements.

As mentioned, the various techniques described herein may be implementedin connection with hardware or software or, where appropriate, with acombination of both. As used herein, the terms “component,” “system” andthe like are likewise intended to refer to a computer-related entity,either hardware, a combination of hardware and software, software, orsoftware in execution. For example, a component may be, but is notlimited to being, a process running on a processor, a processor, anobject, an executable, a thread of execution, a program, and/or acomputer. By way of illustration, both an application running oncomputer and the computer can be a component. One or more components mayreside within a process and/or thread of execution and a component maybe localized on one computer and/or distributed between two or morecomputers.

The aforementioned systems have been described with respect tointeraction between several components. It can be appreciated that suchsystems and components can include those components or specifiedsub-components, some of the specified components or sub-components,and/or additional components, and according to various permutations andcombinations of the foregoing. Sub-components can also be implemented ascomponents communicatively coupled to other components rather thanincluded within parent components (hierarchical). Additionally, it isnoted that one or more components may be combined into a singlecomponent providing aggregate functionality or divided into severalseparate sub-components, and any one or more middle layers, such as amanagement layer, may be provided to communicatively couple to suchsub-components in order to provide integrated functionality. Anycomponents described herein may also interact with one or more othercomponents not specifically described herein but generally known bythose of skill in the art.

In view of the exemplary systems described supra, methodologies that maybe implemented in accordance with the disclosed subject matter can beappreciated with reference to the flowcharts of the various figures.While for purposes of simplicity of explanation, the methodologies areshown and described as a series of blocks, it is to be understood andappreciated that the claimed subject matter is not limited by the orderof the blocks, as some blocks may occur in different orders and/orconcurrently with other blocks from what is depicted and describedherein. Where non-sequential, or branched, flow is illustrated viaflowchart, it can be appreciated that various other branches, flowpaths, and orders of the blocks, may be implemented which achieve thesame or a similar result. Moreover, not all illustrated blocks may berequired to implement the methodologies described hereinafter.

While in some embodiments, a client side perspective is illustrated, itis to be understood for the avoidance of doubt that a correspondingserver perspective exists, or vice versa. Similarly, where a method ispracticed, a corresponding device can be provided having storage and atleast one processor configured to practice that method via one or morecomponents.

While the various embodiments have been described in connection with thepreferred embodiments of the various figures, it is to be understoodthat other similar embodiments may be used or modifications andadditions may be made to the described embodiment for performing thesame function without deviating there from. Still further, one or moreaspects of the above described embodiments may be implemented in oracross a plurality of processing chips or devices, and storage maysimilarly be affected across a plurality of devices. Therefore, thepresent invention should not be limited to any single embodiment, butrather should be construed in breadth and scope in accordance with theappended claims.

What is claimed is:
 1. A method that facilitates optimizing eggproduction characteristics, comprising: ascertaining a desired eggproduction optimization; selecting a mixed feed, wherein the mixed feedcomprises a ratio of chicken feed to mineralized produce according tothe desired egg production optimization, and wherein the mineralizedproduce is produce grown on soil treated with a seawater fluid; andproviding the mixed feed to at least one hen.
 2. The method according toclaim 1, wherein the desired egg production optimization is selectedfrom a plurality of optimizations, and wherein the ratio of chicken feedto mineralized produce varies in each of the plurality of optimizations.3. The method according to claim 1, wherein the desired egg productionoptimization is directed towards egg shell hardness.
 4. The methodaccording to claim 1, wherein the desired egg production optimization isdirected towards molting.
 5. The method according to claim 1, whereinthe desired egg production optimization is directed towards an eggconsumption characteristic.
 6. The method according to claim 5, whereinthe egg consumption characteristic is at least one of a flavorcharacteristic, a cholesterol characteristic, or a caloriccharacteristic.
 7. The method according to claim 1, wherein theproviding further comprises customizing a feeding protocol according tothe desired egg production optimization.
 8. A method to produce chickenfeed that facilitates optimizing egg production characteristics,comprising: identifying at least one desired egg productionoptimization; ascertaining a customized ratio of feed to mineralizedproduce, wherein the customized ratio corresponds to the at least onedesired egg production optimization, and wherein the mineralized produceis produce grown on soil treated with a seawater fluid; and mixing aquantity of feed with a quantity of mineralized produce according to thecustomized ratio.
 9. The method of claim 8, further comprising adjustingthe customized ratio according to a different egg productionoptimization.
 10. The method of claim 8, wherein the identifyingcomprises identifying multiple desired egg production optimizations, andwherein the customized ratio corresponds to the multiple desired eggproduction optimizations.
 11. The method of claim 10, furthercomprising: determining a prioritization of the multiple desired eggproduction optimizations; and adjusting the customized ratio accordingto the prioritization.
 12. The method of claim 11, further comprisingassigning a prioritization weight to at least one of the multipledesired egg production optimizations, wherein the adjusting comprisesfurther adjusting the customized ratio according to the prioritizationweight.
 13. The method of claim 8, wherein the ascertaining comprisesretrieving the customized ratio from a lookup table.
 14. A method togrow produce that facilitates optimizing egg production characteristics,comprising: identifying at least one preferred egg productionoptimization; determining a customized ratio of seawater to non-seawaterfluid, wherein the customized ratio corresponds to the at least onepreferred egg production optimization; mineralizing a plot of soil witha seawater fluid, wherein the seawater fluid comprises a quantity ofseawater and a quantity of non-seawater fluid according to thecustomized ratio; and growing produce on the plot of soil.
 15. Themethod according to claim 14, wherein the determining comprisesmodifying a default ratio of seawater to non-seawater fluid according tothe at least one preferred egg production optimization.
 16. The methodaccording to claim 14, wherein the mineralizing comprises applying theseawater fluid onto the plot of soil according to an applicationprotocol, and wherein the application protocol corresponds to the atleast one preferred egg production optimization.
 17. The methodaccording to claim 16, wherein the application protocol identifies atleast one of an application frequency or an application density.
 18. Themethod according to claim 14, wherein the determining further comprisesascertaining a nutrient ratio corresponding to the at least onepreferred egg production optimization, and wherein the mineralizingfurther comprises incorporating nutrients into the quantity ofnon-seawater fluid according to the nutrient ratio.
 19. The methodaccording to claim 14, wherein the determining comprises selecting thecustomized ratio from a lookup table.
 20. The method according to claim14, wherein the customized ratio is variable according to a producetype.
 21. A method that facilitates optimizing egg productioncharacteristics, comprising: ascertaining at least one desired eggproduction optimization; selecting a customized ratio of seawater tonon-seawater fluid, wherein the customized ratio corresponds to the atleast one desired egg production optimization; and providing a seawaterfluid to at least one hen, wherein the seawater fluid comprises aquantity of seawater and a quantity of non-seawater fluid according tothe customized ratio.
 22. The method according to claim 21, wherein theproviding comprises providing the seawater fluid as an exclusivedrinking water source available to the at least one hen.
 23. The methodaccording to claim 21, wherein the providing comprises applying theseawater fluid onto a feed provided to the at least one hen.
 24. Themethod according to claim 21, wherein the providing further comprisescustomizing a drinking protocol according to the at least one desiredegg production optimization.
 25. A method that facilitates optimizingegg production characteristics, comprising: identifying at least onedesired egg production optimization; determining a customized ratio ofseawater to non-seawater fluid, wherein the customized ratio correspondsto the at least one desired egg production optimization; and generatinga seawater fluid, wherein the seawater fluid comprises a quantity ofseawater and a quantity of non-seawater fluid according to thecustomized ratio.
 26. The method of claim 25, further comprisingadjusting the customized ratio according to a different egg productionoptimization.
 27. The method of claim 25, further comprising varying thecustomized ratio according to a usage type.
 28. The method of claim 27,wherein the usage type is at least one of a drinking water usage, achicken feed usage, or a soil mineralization usage.
 29. The method ofclaim 25, wherein the identifying comprises identifying multiple desiredegg production optimizations, and wherein the customized ratiocorresponds to the multiple desired egg production optimizations.